{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 20,
   "source": [
    "%matplotlib inline\n",
    "import cv2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 图像阈值\n",
    "\n",
    "```python\n",
    "ret, dst = cv2.threshold(src, thresh, maxval, type)\n",
    "```\n",
    "\n",
    "- `src` 输入图，只能输入单通道图像\n",
    "- `dst` 输出图\n",
    "- `thresh` 阈值\n",
    "- `maxval` 当图像超过阈值或者小于阈值时，所赋予的值（由`type`决定）\n",
    "- `type` 操作类型\n",
    "  - `cv2.THRESH_BINARY` 超过阈值的部分取`maxval`，小于取`0`\n",
    "  - `cv2.THRESH_BINARY_INV` 👆的反转\n",
    "  - `cv2.THRESH_TRUNC` 大于阈值的部分设为`thresh`，否则不变\n",
    "  - `cv2.THRESH_TOZERO` 大于阈值的部分不改变，否则设为`0`\n",
    "  - `cv2.THRESH_TOZERO_INV` 👆的反转"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "img_gray = cv2.imread('./cat.jpg', cv2.IMREAD_GRAYSCALE)"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "ret, thresh1 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY)\n",
    "ret, thresh2 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_BINARY_INV)\n",
    "ret, thresh3 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TRUNC)\n",
    "ret, thresh4 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO)\n",
    "ret, thresh5 = cv2.threshold(img_gray, 127, 255, cv2.THRESH_TOZERO_INV)\n",
    "\n",
    "titles = ['original gray', 'BINARY', 'BINARY_INV', 'TRUNC', 'TOZERO', 'TOZERO_INV']\n",
    "images = [img_gray, thresh1, thresh2, thresh3, thresh4, thresh5]\n",
    "\n",
    "for i in range(6):\n",
    "    plt.subplot(2, 3, i + 1), plt.imshow(images[i], 'gray')\n",
    "    plt.title(titles[i])\n",
    "    plt.xticks([]), plt.yticks([])\n",
    "\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ],
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\r\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\r\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\r\n<svg height=\"233.155408pt\" version=\"1.1\" viewBox=\"0 0 352.7 233.155408\" width=\"352.7pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\r\n <metadata>\r\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\r\n   <cc:Work>\r\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\r\n    <dc:date>2021-08-24T21:13:34.180245</dc:date>\r\n    <dc:format>image/svg+xml</dc:format>\r\n    <dc:creator>\r\n     <cc:Agent>\r\n      <dc:title>Matplotlib v3.4.3, https://matplotlib.org/</dc:title>\r\n     </cc:Agent>\r\n    </dc:creator>\r\n   </cc:Work>\r\n  </rdf:RDF>\r\n </metadata>\r\n <defs>\r\n  <style 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Ot1uN1uOJ1O8VTyXlQ+FUYFEsyYpokDBw6gq6sLAPDRRx+JYVDR9PJ0Og1gK8nr/f39cLvdALbibyqVQjgcRiaTkTzAqpvcPAW3Z88eifk3b97E2NgYJiYm8Nxzz6G/v1/iPclEVuuZTAbhcBhtbW0S81XroWdRKKxNKpUKNjY2YJomHA7HttrE6/XCbrcjmUzi+PHjKJVK2LdvH+LxuHiYem4aAnMFz8eoQCVRcfysGnZUOE5FGIYh7/P5fHjuuecQCoXw5ptvolqtYmVlBRsbG/D7/bDZbGJAHo8Hend3t8ArAGhubhbeiT9JYReLRTQ0NCCXy4kVBQIBnDx5Ert378bHH3+MsbExvPzyyzh+/DjOnDkDr9cr4aRUKkl8np+fl3gcDAYllqohioLhQdqD1L3dbkc6nRZIXK1WsWfPHiE2KXS1yKR3qopW2WB6jGEYIlhWyvQMtahlzKcCqRBeezgcxkMPPYTJyUmMjY1JoUuvp4dVq1XoKysrsNvtsFgs0kxiP4FdL6fTKUWb0+mU95GLr9fr6Orqgs/nw8DAAC5evIixsTHMzs7ixRdflOKKdQlDyf3795FOpyWJspNYLBYl9PCiWeSx580kThhLCyeKowCJ3GgEVJBKtVPoqsXzNfVzVJiaT9TXqBSekzkhFovhqaeewuTkJKrVKmw2m4RFtnhLpdIWmvL7/ahWq8K+Mills1mBcXTVQqEgRJ3f70exWJQ+L+FxKBTCjRs3cPv2bfzgBz/A8PAwnnrqKQDY6vV+Yo2maQpsprIZFmiZDCeqJZXLZaHuKRDGdloaBc57oVBVYaohiVbNn/xONRdQwDQoKo6f0TRtG0xmVLFarXjggQfQ2dmJ+fl5OBwOyYNqntIZgpgoVZjHL6Vr0YNIa9M76vW6IA6v1ytdw8HBQZw/fx7nz5/H9evX8dJLL2FoaAjFYlGsVj2XGpvVvgWVoiIsoi81hLAjqQqN4U0NgaqgKHhaNPMGBUtFUJF8jXLioYYq3gMLUF4XP7++vo7u7m4Jc0wJ1kQise1meTG0cibgSqWyrZ8MQCrmaDSKer0Oh8Mh0yLBYBDBYBBDQ0Po7e1FsVjEt771LfzHf/wHNE0T4pDhgK1c9dhp4WSLyRiTrFQtXX2fruuSJNX38PMUkPoeClr9Xr6fr6kKUt/Hv/EaGHpdLhdM00RjY6MYCpkPnsdms0EPBAJSpLHWSCQSwrT6/X6JfVQG54EIL4m22GRnjyIcDiMWi6G3txc/+9nPsLGxgffffx/j4+N4/vnnsX//fjgcDlQqFclDO5ndnSGGN8LYT+BB4at5gQrgPzWmq5athix1ekQVOt/DBM5Er/bJVe+hcfNaarUaBgcHcefOHUSjUQlNDFNWqxU6T8QQY5omgsGg3IxpmnC73QgEAiiXyzKdwWKFF6V+ablcFm+z2+1wuVx44YUXsLq6ivb2dpw/fx4vv/wynn76aZw4cWKr+vwkLKkWrCId9XVa/s4xHN4clUKBqFas5obPCjcEGqoS1CJQhbGqMlTFqoiNBqVpGlpbW/Hss8+ivb0dDodD6jYaiW6apkxe8EbU9ikTKUOS3+/fNqlBGoOUBW+YHFWhUEAkEoHVaoXf74fT6URDQwNGRkbw5ptv4saNG/jt3/5tBIPBbV5B6+L1qImceYL9EuYGxmnV8lVEtBM1/TIIrSqeYQf4lJ5XcwiNmcZDudhsNvE0go329nb09vYKcqUh6bq+BW1pYdQ0kRNRFQCBugAEAbBIcrvdgvtVF2V/gXHd4/EIWdjQ0IBYLIZLly5heXkZH3/8MZqamrZoZMWqP8vqdgqWFkYBEmjsVIaaF1XBU9GqN6peoeYQtgZ4qEpU712F6EzqzKe8brINlKnFYoHOi6BrsjmUSCTg8/mEKiiVSgiHw3LxasVKdEOFVqtVqQN8Pp+MW5K/sVqt6O7uRiwWQyqVkvko3qAaTmjpTHyqIvh3tSahIFVEpcZwVZk7w8zOEKmej4phq1nNPSrVoRo3USIAuN1u+P1+yTk0Ghay2WwWOhOkmojy+bzMoaolPoXJATa6F4s5oi5d18UFAQgvVKlUsLCwIIPSZD2j0Sjcbve22K8KS43tasii8AhRAQhMVRESrZOf4zAyz0HoSeEyPKu5Rs0tOw1DLU4pYLYOKpWKsAWshQqFgtwfUaTdbt/yDN4wZ0RrtZp4itVqlUKP4crpdMpNMTdQEA6HQ6ZHeLPsibjdbjQ3N2NpaQk2mw3pdBo+n08SODG/Sjcw9jIR0jhoOBS2KjCVgeXB+F0oFFAoFMQbee/hcFjmbfl5NXzxvERS6vfRENXrpzI5cEGqn8arokAiUz2VSsHn80lDiWGGOFy1cE4QFgoFlEoluN1uyQ1Wq1X6FxRmrVbbxnKSdeXIPROxChv5uipAWrnqKVS+GkIYitTXaL1MpJubm3jjjTdw6dIl8aBQKIShoSEcO3YMsVhMhujUXMRz/7JikIlYDauMOpqmSW7L5XJIp9MC53kP+Xwe+uLiInp7e8UjWE/QMkkGsiBknKY3EFGpFss4SK1TORS2anW8QZX+UJOiSjGoVkoDUGsCnke1TDWH5HI5jI2N4fbt21hbWxNBzM/P48aNG5iamsLv/M7vCNPLc+1EePQSVSGk7HVdF2hvsVhEDlQGJ86Zd9iUslgs0Pv6+oTioJuyQULOXWU3CXtZ0FAIFDhdlXGcVAu9jcmdOUi1ct40rYkWzp+8QVUoqsXuTP5q6KChzc3Nyfyu2ic3TRNXr15FKBTC17/+dUnWOz2DOYqRQ63oGZ55beoYKgtnXgepHxpgrVbbyhn8g+py/MmGDMMOExGbIhbL1vQ3BUuNc8RfHaEhT8MLUoWqujpDJYtJ5p2dIUKludWkq9IffA9ZX6/Xi+Xl5c8cWKjX6xgZGUF/fz+OHTsmclCtX+XrmPjVMMt8S8HbbDYJe6pRk7eiYeRyuS00BUCqapWCprBYK2QyGVgsFmlGcdEKm00qTLbZbOAYEIVMFyatwhtjnKVAeOFUjKo0hjCV11IFQqWosJU99qmpKVy+fPlXjvMUi0WMjIygra1Nup2Eq7quw+FwbCMl1X9UPt/r9XoF8LAEoPeyxmCYdzgcsHLUnX1ZWrEKD5PJpNwsIWAul5OTMyby/aoLVioVsU7+rk56qGFH7b+rhwox+X9eixrSqCQKR1VgrVbD7OyshItfddy4cQP/+q//itnZWZmWoWfRUIm6SM3QmzndYrPZ4PF4EAgEtvXfaRyUs0q9WHciGYYBwzCQzWZRqVTg8XhECOyRW61bJB0tlD0Oci0clKbC1GRI5fFGgK25WA4yq2FyJze1U8g7IayqGDV5ZzIZJJNJTE9Pf+ZiG/UwDAM3b97Ej370I1mIyddVVpuGyXZ1IpFAoVAQ43I4HDJmVKlUkEqlZJEojU8tbHWuKdvZTOGAAi2NWnc4HNsaQFz3Vq/X4fV6kUqltoUBhjA1B9DKVRhKb6Ibq16zs1L+LGZXfZ2fo0fSywm9f5PDNLcm8/v7+/HCCy9IOCFEphzI2xWLRUnkAAT2Wyxb7YH19XVZXEn6Q63FDMOAzsKNJ2cVTQvjQkWW88wFxWJRTqbrusyMEpFxLF+1UgqCVbKaDFWrZDhQk7FaZKneokJjNZ/sFCwV918Zjq7Varh69Soef/xxQYA0LBZtwKcrsBjC/H6/TLBQEel0Gi6XS4ALk7dKyuqDg4NYXl5GKpUCAGm9qtCzXq+jWCwKbyWrMz9RgmotnIFSW6cqq8n/q3SDOrmxcwyGYUlFTlSkqmiGNJV/olcxbHLBzX/lWF1dxeLiIgKBgMhFBQpqg8rr9YrRstdD2aq9Dd4XgG3DEfo3v/lNdHd3C0Lq6uoS4bGXQevf2NiQJMsZKy7I9Hg8ws6qzRcVzqk1iZq4CVuB7cUbK1oVolLIauGoepZaiVMpHL1vamqSc/+mx+bmJq5duyaDa7x3lS1m5OA/Qv10Oi11lZpvVNjtcDg+XcRqs9lw48YNmYeiMHp6eqQqJyfj9/tFqPl8XnZH2MlvSQz8pKagexNb05rV3oNaSQO/2K3jsfM1lVhUK3S1I8hirFqtoru7G3fv3v2NlWEYhmwoQA9gwQdssQ1UAIfAuQqLyVwNyWqkoHxocPrv/u7vijtduXIF77zzDsrlMtra2nDkyBF0dXUJ2gIgfApPRgtkLFatnVQID3Xchpal5g216lbPz9doKBQSD75/Z2NJpbYDgQB6enpw69atbcr/TQ7ueEDBc/mDpmkyuc/rKhaLSKVSyOfzyOVyktPU6pzeQIabHqbX61tj/d3d3TI4sLm5ifHxcVy8eBE//vGPMTw8jEceeQS6rqNQKEiMVwe4WNCRZyEO5+tS8iucDjkkNrJUIpBxXqVBdnJaqrtTUSrUVUdHueKJ3v2bHna7HUNDQ2L5LpdLmGnCc9YulUoF6+vrWFlZgcVikbxKfop5lMsnVCahXq9DV3kUWm0oFMLJkydx8uRJLC4u4s6dO7hw4QKampok7pIo5EL4arWK27dv48KFC/ja174mEI9dLhY8/HLyM4ynBAsq5FP7GLR4lZPaOTFIwcjNKVQKUQ7D1G+yAlbTNBw4cAA9PT2IRqOSoKkIemI+n0ehUEAikZC6hBCWylONiK1iNQfabLatHrgagzmBR+G0tbXJZiPZbBYzMzNwuVxwuVySpK1WKxYWFlAqlbB7924kk0m0t7eLVfBLqTQAskBFRVW0alq0GqJYRav5Q/0cyTvei9q0URV4/Phx5HI5vPXWW790jQWFfvz4cTz33HPo7OyEz+eTQWhaPLC1kHJ5eRmZTEbulSCGzSPVYAiM+F6GrXq9vhWm1Ni8k35WE2sgEMC+fft+gftJpVJYX19HLBbD+vo6fvjDH6KxsRG9vb3bSD+n0yn/Z8OKAlRRFZOvWvDxd461EAzs5IkASFNKDWfccsjpdCIej2NoaAg//elPsb6+jmKxKKOqhw4dwsMPP4zu7m40N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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## 图像平滑"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "img = cv2.imread('./lenaNoise.png')\n",
    "\n",
    "cv2.imshow('img', img)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "# 均值滤波\n",
    "# 简单的平均卷积操作\n",
    "blur = cv2.blur(img, (3, 3))\n",
    "\n",
    "cv2.imshow('blur', blur)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "print(img[:1, :3])\n",
    "print(blur[:1, :3])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[[[125 137 226]\n",
      "  [125 137 226]\n",
      "  [133 137 223]]]\n",
      "[[[125 137 226]\n",
      "  [128 137 225]\n",
      "  [129 137 224]]]\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "source": [
    "# 方框滤波\n",
    "# 基本和均值一样，可以选择归一化\n",
    "# -1 表示通道数一致\n",
    "# normalize 是否归一化（除以9）\n",
    "box = cv2.boxFilter(img, -1, (3, 3), normalize=True)\n",
    "\n",
    "cv2.imshow('box', box)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "source": [
    "print(img[:1, :3])\n",
    "print(box[:1, :3])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[[[125 137 226]\n",
      "  [125 137 226]\n",
      "  [133 137 223]]]\n",
      "[[[125 137 226]\n",
      "  [128 137 225]\n",
      "  [129 137 224]]]\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "source": [
    "# 不归一化（不除以9），容易越界\n",
    "box = cv2.boxFilter(img, -1, (3, 3), normalize=False)\n",
    "\n",
    "cv2.imshow('box', box)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "source": [
    "print(img[:1, :3])\n",
    "print(box[:1, :3])"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "[[[125 137 226]\n",
      "  [125 137 226]\n",
      "  [133 137 223]]]\n",
      "[[[255 255 255]\n",
      "  [255 255 255]\n",
      "  [255 255 255]]]\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "source": [
    "# 高斯滤波\n",
    "# 更重视中间\n",
    "gau = cv2.GaussianBlur(img, (5, 5), 1)\n",
    "\n",
    "cv2.imshow('gauss', gau)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "source": [
    "# 中值滤波\n",
    "# 用中间值代替\n",
    "median = cv2.medianBlur(img, 5)\n",
    "\n",
    "cv2.imshow('median', median)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "source": [
    "# 将三个图像拼接，horizontal\n",
    "res = np.hstack((blur, gau, median))\n",
    "\n",
    "cv2.imshow('all', res)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "source": [
    "# 将三个图像拼接，vertical\n",
    "res = np.vstack((blur, gau, median))\n",
    "\n",
    "cv2.imshow('all', res)\n",
    "cv2.waitKey(0)\n",
    "cv2.destroyAllWindows()"
   ],
   "outputs": [],
   "metadata": {}
  }
 ],
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